Academic literature on the topic 'Non-measurable needs'

Emotions, uniquely among mental states, are characterized by psychological and somatic referents. The former embody the subjectivity of all psychological states. The latter are evident in objectively measurable stereotyped behavioural patterns of facial expression, comportment, and states of autonomic arousal. These include unique patterns of response associated with discrete emotional states, as for example seen in the primary emotions of fear, anger, or disgust often thought of as emotion proper. Emotional states are also unique among psychological states in exerting global effects on virtually all aspects of cognition including attention, perception, and memory. Emotion also exerts biasing influences on high level cognition including the decision-making processes that guide extended behaviour. An informed neurobiological account of emotion needs to incorporate how these wide ranging effects are mediated. Although much of what we can infer about emotional processing in the human brain is derived from clinic-pathological correlations, the advent of high resolution, non-invasive functional neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) has greatly expanded this knowledge base. This is particularly the case for emotion, as opposed to other areas of cognition, where normative studies have provided a much richer account of the underlying neurobiology than that available on the basis of observations from pathology as in classical neuropsychology. Emotion has historically been considered to reflect the product of activity within the limbic system of the brain. The general utility of the concept of a limbic-based emotional system is limited by a lack of a consensus as to its precise anatomical extent and boundaries, coupled with knowledge that emotion-related brain activity is, to a considerable degree, configured by behavioural context. What this means is that brain regions engaged by, for example, an emotion of fear associated with seeing a snake can have both distinct and common features with an emotion of fear associated with a fearful recollection. Consequently, within this framework emotional states are not unique to any single brain region but are expressed in widespread patterns of brain activity, including activity within early sensory cortices, shaped by the emotion eliciting context. This perspective emphasizes a global propagation of emotional signals as opposed to a perspective of circumscribed limbic-mediated emotion-related activity.

In extended enterprises, the traditional dichotomy between insiders and outsiders becomes blurred: consultants, freelance administrators, and employees of business partners are both inside and outside of the enterprise. As a consequence, traditional controls to mitigate insider and outsider threat do not completely apply to this group of individuals, and additional or improved solutions are required. The ISO 27002 security standard, recognizing this need, proposes third-party agreements to cover security requirements in B2B relationships as a solution, but leaves open how to realize them to counter security problems of inter-organizational collaboration. To reduce this gap, this chapter presents a method for identifying external insiders and analyzing them from two perspectives: as threats and as possible mitigation. The output of the method provides input for further engineering of third-party agreements related to non-measurable IT security agreements; the authors illustrate the method using a manufacturer-retailer example. This chapter also provides an overview of the external insider threat, consisting of a review of extended enterprises and of challenges involved with external insiders.

In many ways homelessness is both a health issue and a reflection of the viability of our social safety net and health care system. Despite advances made in our understanding of how to best provide care and assist homeless persons, significant health disparities and gaps in care persist, as does the conundrum of chronic and persistent homelessness. Primary care tailored to homeless persons provides a unique opportunity to address some of these health disparities and vulnerabilities as well as the platform on which to engage them in an array of additional services over a continuum of time and need. Core tenets of the most successful models capture several key elements: (1) availability of care based on an open-access, on-demand, and non-contingent model; (2) one-stop, wrap-around services that are integrated and coordinated; (3) capacity for intensive, longitudinal and community/social service–linked case management; (4) high-quality, evidence-based, and culturally sensitive care that both destigmatizes seeking care and supports professionalism among the providers delivering that care; and (5) accountability to specific measurable goals and outcomes. However, it will not happen without deliberate planning and organization and a commitment to the capacity needed to bring services to scale.

Key performance indicators (KPIs) are widely used to assess performance against targets, whether these be technical, environmental or financial. Offshore KPIs are used by both duty holders and regulators to assess the reliability of equipment and systems, often they relate to safety systems and the regulator’s interest relates to such systems. The most obvious KPIs include number of fatalities, fatal accident rate, lost time injury frequency and total recordable incident rate, as well as hydrocarbon release incident rates associated with maintaining safety. Many of the “non-headline” KPIs rela

The task of mapping the existing procedures and methodologies of subsidies provided from the state budget in terms of efficiency, transparency and effectiveness and proposing their evaluation, the Office of the Plenipotentiary of the Government of the Slovak Republic for Civil Society Development resulted from the Strategy of Civil Society Development in Slovakia Action Plan 2019-2020. The analysis is based on research solved for the needs of practice and focuses on ministries, central state administration bodies and funds of the Slovak Republic, which is a total of 21 institutions that provid

Pebble Bed HTGR’s like the AVR in Ju¨lich have the advantage of continuous fuelling. However the multiple passes of the fuel pebbles through the core have the disadvantage that the pebble’s movement through the fuelling system and the core produces graphite dust. This dust is transported from the core to other parts of the primary circuit and deposits on components. Although previous experiments performed during AVR operation have given some insight into the dust particle size and activity, there is little information on the behaviour of the dust that was deposited in the system. The decommiss

Episcleral venous pressure (EVP) refers to the pressure in the episcleral veins. It is used by scientists in glaucoma physiology and pharmacology research to study the parameters of aqueous humor dynamics as part of the Goldmann equation [1]. The episcleral veins drain into the superior ophthalmic vein which drains into the cavernous sinus. Our previous work in a pig model [2] shows for the first time that EVP is an excellent non-invasive quantitative marker for intracranial pressure (ICP) estimation (high ICP leads to high intracranial venous pressure and high EVP). Intracranial pressure (ICP

This article illustrates the use of a virtual vehicle, modelled in MSC Adams/Car, to study and analyse the technique that can be used to extract parameters for handling analysis and subsequently for control purposes. These parameters are usually not available for direct measurement and therefore need to be estimated from other vehicle states. However, presence of process and measurement noise limit the authenticity of these parameters. Kalman filtering algorithm is used as a virtual sensor for noise cancellation and estimation of non-measurable vehicle parameters. This technique uses mathemati

The development of socially assistive robots for health care applications can provide measurable improvements in patient safety, quality of care, and operational efficiencies by playing an increasingly important role in patient care in the fast pace of crowded clinics, hospitals and nursing/veterans homes. However, there are a number of research issues that need to be addressed in order to design such robots. In this paper, we address two main limitations to the development of intelligent socially assistive robots: (i) identification of human body language via a non-contact sensory system and

A new novel breed of robots known as socially assistive robots is emerging. These robots are capable of providing assistance to individuals through social and cognitive interaction. The development of socially assistive robots for health care applications can provide measurable improvements in patient safety, quality of care, and operational efficiencies by playing an increasingly important role in patient care in the fast pace of crowded clinics, hospitals and nursing/veterans homes. However, there are a number of research issues that need to be addressed in order to design such robots. In th

The feedback perspective of dynamic AFM provides a powerful tool to investigate the non-linear system dynamics from a system theoretic point of view. Including the higher order dynamics of the extended cantilever beam in the model the contact resonances can be reproduced faithfully without the need to solve the partial differential equation of motion directly. The investigation of the non-linear dynamics provides valuable insight into the generation of higher harmonics in dynamic AFM. However, the light lever detection scheme is widely used in dynamic AFM. This means that — strictly speaking —